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thrilltrack-explorer/supabase/migrations/20251111020556_e7431e73-dd91-428d-b4af-1362acdc311a.sql
gpt-engineer-app[bot] be94b4252c Implement ML Anomaly Detection 
Introduce statistical anomaly detection for metrics via edge function, hooks, and UI components. Adds detection algorithms (z-score, moving average, rate of change), anomaly storage, auto-alerts, and dashboard rendering of detected anomalies with run-once trigger and scheduling guidance.
2025-11-11 02:07:49 +00:00

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